Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China

Background and objectivesRecent research has identified neighborhoods as an important contributor to later-life frailty. However, little is known about how neighborhood resources are associated with frailty trajectories over time, especially in developing countries. This study examines the impact of neighborhood physical and social resources on the trajectories of frailty over time among older people in China.Research design and methodsUsing the four waves of the China Health and Retirement Longitudinal Study (2011–2018), 5673 respondents aged 60 and above at baseline were included for analyses. Multilevel growth modeling was fitted to estimate the effects of neighborhood resources on frailty trajectories over a 7-year period, controlling for individual-level characteristics.ResultsOlder Chinese people who lived in neighborhoods with better basic infrastructures and a greater number of voluntary organizations were less frail at baseline. Accessible exercise facilities were associated with a lower initial level of frailty only among rural older adults, while higher community-level socioeconomic status (SES) was associated with a lower initial level of frailty only among urban older adults. Over the 7-year follow-up period, better basic infrastructures and accessible exercise facilities were associated with a slower increase rate of frailty scores among rural residents.Discussion and implicationsNeighborhood resources are important contributors to the level of frailty among older Chinese people. Our findings of significant urban-rural differences have important implications for designing and implementing infrastructure development and community building programs in rural and urban China.     

The indelible weight of place: Childhood neighborhood disadvantage,timing of exposure,and obesity across adulthood

I use 28 (1986–2014) years of restricted geocoded NLSY tract-level data and find positive associations between exposure to childhood neighborhood disadvantage and adult obesity and BMI among individuals growing up and entering adulthood during the rise of obesity in the United States. Sibling fixed effects and cousin fixed effects models partially address unobserved confounding nested in the nuclear as well as extended family. Furthermore, exposure to neighborhood disadvantage in adolescence is most salient, providing insight into when policy intervention may be most effective. Results are robust to alternative specifications for neighborhood disadvantage, ages of exposure, and to alternative sampling strategies.     

Spatial clusters of daily tobacco consumption before and after a smoke-free policy implementation

This study assessed the spatial dependence of daily tobacco consumption and how it is spatially impacted by individual and neighborhood socioeconomic determinants, and tobacco consumption facilities before and after a smoke-free implementation.Individual data was obtained from the Bus Santé, a cross-sectional survey in Geneva. Spatial clusters of high and low tobacco consumption were assessed using Getis-Ord Gi*.Daily tobacco consumption was not randomly clustered in Geneva and may be impacted by tobacco consumption facilities independently of socioeconomic factors and a smoking ban. Spatial analysis should be considered to highlight the impact of smoke-free policies and guide public health interventions.     

A relational approach to evaluate food environments finds that the proximate food environment matters for those who use it

Using a relational approach, this study investigates whether shopping close to home moderates the relationship between the proximate food environment and diet. To address this question, we develop the proximate food retail quality (PFRQ) score, an inverse-distance weighted measure of all food retailers within a resident's neighborhood that incorporates audit data of each food retailer. This study relies on data collected through 24-h dietary recalls and psychosocial surveys administered to 449 adults in two socioeconomically matched neighborhoods. Food retailer audits collected data on the availability, price, and quality of healthful foods. Seventy-one percent of study participants report conducting at least 50% of their food shopping within approximately one mile of their home. Household income and education are associated with likelihood to shop close to home, while access to a personal vehicle is not. Finally, results suggest that, for residents who shop primarily close to home, a one unit increase in proximate food retail environment score is associated with a 17.2-point increase in HEI-2010 score, a measure of overall diet quality that ranges from zero to 100. This study suggests that the food environment matters for those who use it and that a low-quality proximate food environment can amplify individual disadvantage.     

Pathways linking census tract typologies with subjective neighborhood disorder and depressive symptoms in the Black Women's Experiences Living with Lupus (BeWELL) Study

Depression is a common comorbidity among Black women with systemic lupus erythematosus (SLE), an understudied autoimmune disease characterized by major racial and gender inequities. Research is needed that examines how area-level factors influence risk of depression in this population. Latent profile analysis revealed four neighborhood typologies among metropolitan Atlanta, Georgia census tracts that participants (n=438) in the Black Women's Experiences Living with Lupus (BeWELL) Study were living in: Integrated/High-SES, Moderately Segregated/Mid-SES, Highly Segregated/Mid-SES, and Highly Segregated/Low-SES. Structural equation models indicated that highly segregated census tracts were associated with the greatest levels of depression via increased subjective assessments of neighborhood disorder. Policies that invest in segregated areas and address physical and social aspects of the environment that contribute to neighborhood disorder may promote mental health among Black women with SLE.     

Neighborhood social environments,healthy resources,and adult diabetes: Accounting for activity space exposures

This study broadens contextual environments to include adults’ activity spaces—inside and outside the residential neighborhood—to examine how contextual exposures shape type 2 diabetes risk. We use novel longitudinal data from the Los Angeles Family and Neighborhood Survey, construct time-weighted exposure measures of adults’ social-structural and healthy resource environments, and execute random effects logistic models predicting the probability of being diabetic. Results indicate that residential and activity space exposures are independently associated with adult diabetes, and that residential and activity space healthy resources combine to influence diabetes risk in synergistic ways. Living in more socioeconomically advantaged neighborhoods reduces diabetes risk, particularly when spending time in activity spaces with greater access to recreational facilities. Moreover, healthier activity space environments may compensate for living in neighborhoods devoid of healthy food options to lessen diabetes risk. Adopting an activity space framework can inform multilevel interventions aimed at alleviating type 2 diabetes and other chronic ailments.     

Do neighborhoods matter differently for movers and non-movers? Analysis of weight gain in the longitudinal dallas heart study

The few available population-based longitudinal studies examining the link between change in neighborhood condition and weight change to date have only examined neighborhood changes generated by residential mobility. Applying a difference-in-difference analytic framework to data from the Dallas Heart Study (DHS), a multi-ethnic, population-based cohort in Dallas County, TX, we evaluated the relationship between changes in neighborhood condition and weight change for both movers and non-movers over an approximate seven-year follow-up period. We employed a novel measure of neighborhood condition based on property appraisal data to capture temporally consistent measures of change in neighborhood condition regardless of residential mobility. We observed an inverse relationship between weight change and change in neighborhood condition which was more pronounced for non-movers (1.9 fewer kilograms gained per 1-standard deviation improvement in neighborhood condition) than for movers (1.5 fewer kilograms gained per 1-standard deviation improvement in neighborhood condition).     

Walk Score and Australian adults' home-based walking for transport

The relationships of Walk Score, a publicly-accessible walkability assessment tool, with walking for transport to and from home were examined among a large representative sample of Australian adults aged 18–64 years (N=16,944). Residents in highly and somewhat walkable areas were twice and 1.4 times more likely to accumulate 30 min of walking per day compared to those in very car-dependent neighborhoods, respectively. Mean duration of walking was also longer for participants living in highly and somewhat walkable areas compared to those in very car-dependent areas. Walk Score has potential as a widely-applicable tool for identifying the walkability of local neighborhoods.     

Inter-relationships between objective and subjective measures of the residential environment among urban African American women

PurposeThe inter-relationships between objective (census based) and subjective (resident reported) measures of the residential environment is understudied in African American (AA) populations.MethodsUsing data from the Life Influences on Fetal Environments Study (2009–2011; n = 1387) of AA women, we quantified the area-level variation in subjective reports of residential healthy food availability, walkability, safety, and disorder that can be accounted for with an objective neighborhood disadvantage index (NDI). Two-level generalized linear models estimated associations between objective and subjective measures of the residential environment, accounting for individual-level covariates.ResultsIn unconditional models, intraclass correlation coefficients for block-group variance in subjective reports ranged from 11% (healthy food availability) to 30% (safety). Models accounting for the NDI (vs. both NDI and individual-level covariates) accounted for more variance in healthy food availability (23% vs. 8%) and social disorder (40% vs. 38%). The NDI and individual-level variables accounted for 39% and 51% of the area-level variation in walkability and safety, respectively. Associations between subjective and objective measures of the residential environment were significant and in the expected direction.ConclusionsFuture studies on neighborhood effects on health, especially among AAs, should include a wide range of residential environment measures, including subjective, objective, and spatial contextual variables.     

Ethnic inequalities in psychological distress among urban residents in the Netherlands: A moderating role of neighborhood ethnic diversity?

The main purpose of this study was to investigate whether neighborhood ethnic diversity moderated the association between ethnicity and psychological distress in the four largest cities of Netherlands. Multilevel linear regression analysis was used to assess whether the association between ethnicity and psychological distress differed by levels of neighborhood ethnic diversity. Results showed that the Turkish and Moroccan residents reported significantly higher psychological distress than native Dutch and Surinamese residents. In high ethnic diverse neighborhoods Turkish residents reported significantly less psychological distress than in low ethnic diverse neighborhoods. Ethnic diversity amplifies the risk of depression for some but not all ethnic minorities.